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D. Silva¹, M.M. Neves¹, V. Infante² and P. Koziol³

¹Institute of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Portugal
²Institute of Materials and Surface Science and Engineering, Instituto Superior Técnico, Lisbon, Portugal
³Department of Civil and Environmental Engineering, Koszalin University of Technology, Koszalin, Poland

Keywords: ultra-light railway vehicle, ride comfort, analytical target cascading, optimization, rail irregularities.

Summary

Analytical target cascading (ATC) is a hierarchical systems optimization method that works by decomposing a system into a hierarchy of subsystems and coordinating the optimization of subsystems so that the joint solution is consistent and optimal for the overall system. In this paper, the authors describe the research developed in a basic problem to review the ATC approach for large-scale complex systems and its application to the design and optimization of an ultra-light railway vehicle (URV) in terms of comfort. A dynamic model of the URV is presented and parameterized in terms of its stiffness and damping masses. ATC is employed to decompose and optimize the vertical passive suspensions in terms of comfort when it travels at constant speed on railway tracks with vertical irregularities described by power spectral density functions. The system partition and hierarchical integration of the model are addressed. The problem is discussed and the application of the ATC to the analysis of the vertical ride comfort of the URV is performed. The authors also present a comparison of the performance between the ATC approach and a standard optimization approach that considers all systems in one problem discussing the advantages of ATC in dealing with complex problems.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 219 Using Analytical Target Cascading to Improve Ultra-light Railway Vehicle Ride Comfort D. Silva¹, M.M. Neves¹, V. Infante² and P. Koziol³ ¹Institute of Mechanical Engineering, Instituto Superior Técnico, Universidade de Lisboa, Portugal ²Institute of Materials and Surface Science and Engineering, Instituto Superior Técnico, Lisbon, Portugal ³Department of Civil and Environmental Engineering, Koszalin University of Technology, Koszalin, Poland doi:10.4203/ccp.104.219 purchase the full-text of this paper Full Bibliographic Reference for this paper D. Silva, M.M. Neves, V. Infante, P. Koziol, "Using Analytical Target Cascading to Improve Ultra-light Railway Vehicle Ride Comfort", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 219, 2014. doi:10.4203/ccp.104.219 Keywords: ultra-light railway vehicle, ride comfort, analytical target cascading, optimization, rail irregularities. Summary Analytical target cascading (ATC) is a hierarchical systems optimization method that works by decomposing a system into a hierarchy of subsystems and coordinating the optimization of subsystems so that the joint solution is consistent and optimal for the overall system. In this paper, the authors describe the research developed in a basic problem to review the ATC approach for large-scale complex systems and its application to the design and optimization of an ultra-light railway vehicle (URV) in terms of comfort. A dynamic model of the URV is presented and parameterized in terms of its stiffness and damping masses. ATC is employed to decompose and optimize the vertical passive suspensions in terms of comfort when it travels at constant speed on railway tracks with vertical irregularities described by power spectral density functions. The system partition and hierarchical integration of the model are addressed. The problem is discussed and the application of the ATC to the analysis of the vertical ride comfort of the URV is performed. The authors also present a comparison of the performance between the ATC approach and a standard optimization approach that considers all systems in one problem discussing the advantages of ATC in dealing with complex problems. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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